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Centralized machine learning (ML) is the ML workflow that most of us are familiar with today, where training is allocated to powerful servers which update model parameters using large datasets. The trained model may then be deployed to edge devices over the cloud for inference at the edge, or edge devices may collect and send data to the server for inference and receive back the server’s prediction(s).
Start and stop video recording through an Azure IoT hub.
Send the status of your camera recordings to the AWS IoT console.
Use GStreamer plug-ins to record 4K@30fps, 1080p@30fps and 1080p video streams via TCP.
Detect a scene and use a pretrained AI model to classify it into different scenes.
Given the amazing capabilities and advances in today’s smartphones, have you ever wondered what the next big evolution of these devices would look like? hubraum, a tech incubator run by Deutsche Telekom, recently teamed up with Qualcomm Technologies, Inc.
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